Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles (AVs) require exhaustive validation prior to production release to ensure the safety of each new vehicle. Validation teams are required to drive millions of actual road-miles while recording the data from on-board cameras and sensors to determine if the systems behave as designed under real-world conditions. This process generates a massive amount of data (petabytes) which must be annotated and analyzed to understand system performance and id
The Ottometric platform automatically reviews thousands of hours of raw endurance test and training data, distilling it based on the KPIs for each particular system. Employing proprietary AI and mathematical models, Ottometric’s technology analyzes sensor and system data to validate correct operation of ADAS/AV systems. It also generates a prioritized list of scenarios that warrant manual review, thereby guiding engineers to the “needles in the haystack”. This speeds up required certifications and greatly i
Below is a sample of some of the common use cases in ADAS and AV system validation and training that can be automated by the Ottometric solution: